smahal

Computes robust Mahalanobis distance between treated and control units.

internal

Performs multilevel matches for data with cluster-
level treatments and individual-level outcomes using a network
optimization algorithm. Functions for checking balance at the
cluster and individual levels are also provided, as are methods
for permutation-inference-based outcome analysis. Details in
Pimentel et al. (2018) <doi:10.1214/17-AOAS1118>. The optmatch
package, which is useful for running many of the provided
functions, may be downloaded from Github at
<https://github.com/markmfredrickson/optmatch> if not available on
CRAN.

Samuel Pimentel

matchMulti

Optimal Multilevel Matching using a Network Algorithm

Luke Keele

Luke Miratrix

Sam Pimentel

Paul Rosenbaum

smahal function

<dl><dt>z</dt>
<dd>vector of treatment indicators (1 for treated, 0 for controls).</dd>
<dt>X</dt>
<dd>matrix of numeric variables to be used for computing the
Mahalanobis distance. Row count must match length of <code>z</code>.</dd></dl>

Arguments

Author

Robust Mahalanobis Distance — smahal

<dl>

<dt>z</dt>
<dd>vector of treatment indicators (1 for treated, 0 for controls).</dd>


<dt>X</dt>
<dd>matrix of numeric variables to be used for computing the
Mahalanobis distance. Row count must match length of <code>z</code>.</dd>

</dl>

smahal: Robust Mahalanobis Distance

Description

Usage

Value

Arguments

Author

Details

References